Xiao‐Shan Wei
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 2
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- Immune cells in cancer 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Qiong Zhou (21 shared papers)Xuan Xiang (14 shared papers)Bohan Yang (3 shared papers)Linlin Ye (17 shared papers)Wan‐Li Ma (2 shared papers)Xu Wang (3 shared papers)Xin‐Liang He (3 shared papers)Zi-Hao Wang (4 shared papers)
In The Last Decade
Xiao‐Shan Wei
26 papers receiving 1.5k citations
Xiao‐Shan Wei's Hit Papers
Peers
Comparison fields: 5 of 111
- Infectious Diseases 768
- Modeling and Simulation 74
- Neurology 176
- Immunology 243
- Oncology 171
Countries citing papers authored by Xiao‐Shan Wei
This map shows the geographic impact of Xiao‐Shan Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiao‐Shan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Shan Wei more than expected).
Fields of papers citing papers by Xiao‐Shan Wei
This network shows the impact of papers produced by Xiao‐Shan Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiao‐Shan Wei. The network helps show where Xiao‐Shan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao‐Shan Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Antibody Detection and Dynamic Characteristics in Patients With Coronavirus Disease 2019 Hit paper breakdown → | 2020 | 433 |
| 2 | 2020 | 305 | |
| 3 | 2020 | 119 | |
| 4 | 2020 | 115 | |
| 5 | 2018 | 85 | |
| 6 | 2020 | 76 | |
| 7 | 2022 | 55 | |
| 8 | 2023 | 51 | |
| 9 | 2024 | 39 | |
| 10 | 2023 | 30 | |
| 11 | 2020 | 29 | |
| 12 | 2021 | 29 | |
| 13 | 2020 | 24 | |
| 14 | 2021 | 18 | |
| 15 | 2022 | 17 | |
| 16 | 2021 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2019 | 10 | |
| 20 | 2023 | 9 |
About Xiao‐Shan Wei
Xiao‐Shan Wei is a scholar working on Infectious Diseases, Immunology, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Circular RNAs in diseases (3 papers), Pleural and Pulmonary Diseases (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Immune cells in cancer (2 papers), Immunotherapy and Immune Responses (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Infectious Diseases (768 citations), Modeling and Simulation (74 citations), Neurology (176 citations), Immunology (243 citations) and Oncology (171 citations). Xiao‐Shan Wei has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Qiong Zhou, Xuan Xiang, Bohan Yang, Linlin Ye, Wan‐Li Ma, Xu Wang, Xin‐Liang He, Zi-Hao Wang, Yanling Ma and Jianchu Zhang. Their work appears in journals such as Frontiers in Immunology, Journal for ImmunoTherapy of Cancer, Frontiers in Cell and Developmental Biology, Clinical Gastroenterology and Hepatology and Journal of Microbiology Immunology and Infection.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.